東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Public transport optimization

Gkiotsalitis, Konstantinos.

FindBook

Google Book

Amazon

博客來

Public transport optimization

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Public transport optimization/ by Konstantinos Gkiotsalitis.
作者:	Gkiotsalitis, Konstantinos.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xx, 626 p. :ill., digital ;24 cm.
內容註:	Part I Mathematical Programming of Public Transport Problems -- 1 Introduction to Mathematical Programming -- 2 Introduction to Computational Complexity -- 3 Continuous Unconstrained Optimization -- 4 Continuous Constrained Optimization -- 5 Discrete Optimization -- Part II Solution Approximation with Artificial Intelligence: The case of metaheuristics -- 6 Metaheuristics for Discrete Optimization Problems -- 7 Metaheuristics for Continuous Optimization Problems -- 8 Multi-objective Optimization Metaheuristics -- Part III Public Transport Optimization: from Network Design to Operations -- 9 Public Transport Network Design -- 10 Tactical Planning of Public Transport Services -- 11 Multi-modal Synchronization at the Tactical Planning Stage -- 12 Operational Planning and Control -- 13 Planning under Uncertainty.
Contained By:	Springer Nature eBook
標題:	Transportation - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-031-12444-0
ISBN:	9783031124440

Public transport optimization
Gkiotsalitis, Konstantinos.

Public transport optimization[electronic resource] /by Konstantinos Gkiotsalitis. - Cham :Springer International Publishing :2022. - xx, 626 p. :ill., digital ;24 cm.

Part I Mathematical Programming of Public Transport Problems -- 1 Introduction to Mathematical Programming -- 2 Introduction to Computational Complexity -- 3 Continuous Unconstrained Optimization -- 4 Continuous Constrained Optimization -- 5 Discrete Optimization -- Part II Solution Approximation with Artificial Intelligence: The case of metaheuristics -- 6 Metaheuristics for Discrete Optimization Problems -- 7 Metaheuristics for Continuous Optimization Problems -- 8 Multi-objective Optimization Metaheuristics -- Part III Public Transport Optimization: from Network Design to Operations -- 9 Public Transport Network Design -- 10 Tactical Planning of Public Transport Services -- 11 Multi-modal Synchronization at the Tactical Planning Stage -- 12 Operational Planning and Control -- 13 Planning under Uncertainty.

This textbook provides a comprehensive step-by-step guide for new public transport modelers. It includes an introduction to mathematical modeling, continuous and discrete optimization, numerical optimization, computational complexity analysis, metaheuristics, and multi-objective optimization. These tools help engineers and modelers to use better existing public transport models and also develop new models that can address future challenges. By reading this book, the reader will gain the ability to translate a future problem description into a mathematical model and solve it using an appropriate solution method. The textbook provides the knowledge needed to develop highly accurate mathematical models that can serve as decision support tools at the strategic, tactical, and operational planning levels of public transport services. Its detailed description of exact optimization methods, metaheuristics, bi-level, and multi-objective optimization approaches together with the detailed description of implementing these approaches in classic public transport problems with the use of open source tools is unique and will be highly useful to students and transport professionals.

ISBN: 9783031124440

Standard No.: 10.1007/978-3-031-12444-0doiSubjects--Topical Terms:

713382
Transportation
--Mathematical models.

LC Class. No.: HE147.7 / .G55 2022

Dewey Class. No.: 388.015118

Public transport optimization
LDR:02970nmm a2200325 a 4500 001 2308232
003 DE-He213
005 20230120113146.0
006 m d
007 cr nn 008maaau
008 230526s2022 sz s 0 eng d
020 $a 9783031124440 $q (electronic bk.)
020 $a 9783031124433 $q (paper)
024 7 $a 10.1007/978-3-031-12444-0 $2 doi
035 $a 978-3-031-12444-0
040 $a GP $c GP
041 0 $a eng
050 4 $a HE147.7 $b .G55 2022
072 7 $a KJMV9 $2 bicssc
072 7 $a BUS087000 $2 bisacsh
072 7 $a KJMV9 $2 thema
082 0 4 $a 388.015118 $2 23
090 $a HE147.7 $b .G539 2022
100 1 $a Gkiotsalitis, Konstantinos. $3 3614257
245 1 0 $a Public transport optimization $h [electronic resource] / $c by Konstantinos Gkiotsalitis.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xx, 626 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part I Mathematical Programming of Public Transport Problems -- 1 Introduction to Mathematical Programming -- 2 Introduction to Computational Complexity -- 3 Continuous Unconstrained Optimization -- 4 Continuous Constrained Optimization -- 5 Discrete Optimization -- Part II Solution Approximation with Artificial Intelligence: The case of metaheuristics -- 6 Metaheuristics for Discrete Optimization Problems -- 7 Metaheuristics for Continuous Optimization Problems -- 8 Multi-objective Optimization Metaheuristics -- Part III Public Transport Optimization: from Network Design to Operations -- 9 Public Transport Network Design -- 10 Tactical Planning of Public Transport Services -- 11 Multi-modal Synchronization at the Tactical Planning Stage -- 12 Operational Planning and Control -- 13 Planning under Uncertainty.
520 $a This textbook provides a comprehensive step-by-step guide for new public transport modelers. It includes an introduction to mathematical modeling, continuous and discrete optimization, numerical optimization, computational complexity analysis, metaheuristics, and multi-objective optimization. These tools help engineers and modelers to use better existing public transport models and also develop new models that can address future challenges. By reading this book, the reader will gain the ability to translate a future problem description into a mathematical model and solve it using an appropriate solution method. The textbook provides the knowledge needed to develop highly accurate mathematical models that can serve as decision support tools at the strategic, tactical, and operational planning levels of public transport services. Its detailed description of exact optimization methods, metaheuristics, bi-level, and multi-objective optimization approaches together with the detailed description of implementing these approaches in classic public transport problems with the use of open source tools is unique and will be highly useful to students and transport professionals.
650 0 $a Transportation $x Mathematical models. $3 713382
650 0 $a Mathematical optimization. $3 517763
650 1 4 $a Logistics. $3 783981
650 2 4 $a Industrial Management. $3 3537892
650 2 4 $a Supply Chain Management. $2 swd $3 1283588
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Transportation Technology and Traffic Engineering. $3 2153276
650 2 4 $a Operations Research, Management Science. $3 1532996
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-12444-0
950 $a Social Sciences (SpringerNature-41176)